Principal component analysis (PCA) has been widely used as an effective
...
Sparse Principal Component Analysis (SPCA) is widely used in data proces...
Although many techniques have been applied to matrix factorization (MF),...
With the development of self-interference (SI) cancelation technology,
f...
We propose a framework called inverse augmented reality (IAR) which desc...